Piers D. L. Howe

2.0k citations
73 papers · 1.1k indexed · h-index 20
Topics
Visual perception and processing mechanisms (32 papers)Neural and Behavioral Psychology Studies (20 papers)Neural dynamics and brain function (8 papers)

In The Last Decade

Piers D. L. Howe

65 papers receiving 1.1k citations

Peers

Piers D. L. Howe
Comparison fields: 5 of 119
  • Cognitive Neuroscience 655
  • Social Psychology 167
  • Computer Vision and Pattern Recognition 111
  • Artificial Intelligence 90
  • Experimental and Cognitive Psychology 90
Replace Benjamin A. Clegg with:
Benjamin A. Clegg United States
Melina A. Kunar United Kingdom
Trafton Drew United States
Matthew S. Cain United States
Derrick G. Watson United Kingdom
Joshua R. de Leeuw United States
Tim Draws Netherlands
N. M. Kenner United States
Karla K. Evans United States
Saskia K. Nagel Germany
Piers D. L. Howe relative to Benjamin A. Clegg United States Benjamin A. Clegg's profile →
Citations per field
00.5×
Benjamin A. Clegg · 1×
Citations per year

Countries citing papers authored by Piers D. L. Howe

Since Specialization
Citations

This map shows the geographic impact of Piers D. L. Howe's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Piers D. L. Howe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Piers D. L. Howe more than expected).

Fields of papers citing papers by Piers D. L. Howe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Piers D. L. Howe. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Piers D. L. Howe. The network helps show where Piers D. L. Howe may publish in the future.

Co-authorship network of co-authors of Piers D. L. Howe

This figure shows the co-authorship network connecting the top 25 collaborators of Piers D. L. Howe. A scholar is included among the top collaborators of Piers D. L. Howe based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Piers D. L. Howe. Piers D. L. Howe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 1
3 20
4 1
5 0
6 2
7
How effective is perceptual training? Evaluating two perceptual training methods on a difficult visual categorisation task
0
8 0
9 0
10 9
11 1
12 107
13 40
14 3
15 2
16 25
17 11
18 19
19 52
20 7

About Piers D. L. Howe

Piers D. L. Howe is a scholar working on General Decision Sciences, Cognitive Neuroscience and Health Informatics, having authored 73 papers that have together received 1.1k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (32 papers), Neural and Behavioral Psychology Studies (20 papers) and Neural dynamics and brain function (8 papers). The work is most often cited by research in Health Informatics (77 citations), Cognitive Neuroscience (655 citations) and General Decision Sciences (49 citations). Piers D. L. Howe has collaborated with scholars based in Australia, United States and Netherlands. Frequent co-authors include Todd S. Horowitz, Alex O. Holcombe, Stephen Grossberg, Margaret S. Livingstone, Daniel R. Little, Jeremy M. Wolfe, Yaïr Pinto, Frank Gaillard, I Mórocz and Michael A. Cohen. Their work appears in journals such as Journal of Personality and Social Psychology, PLoS ONE and Psychological Review.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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